Skip to content

Search

Find insights, training programs, and workshops

Automation & Agentic Systems
Intermediate to Advanced (SA, EA, TS)6-7 hoursAutomation opportunity map + agent architecture blueprint + MCP/A2A integration guide + Agentic Risk & Cost Framework

How AI-powered architectures that plan, act, and use tools autonomously are reshaping integration and workflow — covering agentic patterns, MCP and A2A protocols, orchestration frameworks, human-in-the-loop design, guardrails, observability, and economic risk management.

...integration to orchestration. Agentic systems require new architectural patterns — orchestration, memory, tool use, human oversight. MCP (Model Context Protocol) and A2A (Agent-to-Agent) are the emerging...

1.5 DaysIntensive
CurrentSA · EA · TS
ArchitectureAI AgentsAgentic SystemsMCPA2AAutomationOrchestrationView Details
AI in the Workplace
Beginner to Intermediate3-4 hoursPersonal AI workflow map + role-specific use case library

Applying AI in real work contexts — across roles, tasks, and teams. Move from knowing what AI is to using it every day, without hype, without fear, and without wasting time on the wrong things.

...to know about: they've read almost everything ever written and can draw on it fluently. They have no memory of what you talked about yesterday — every conversation starts fresh. They sound confident even...

Half DayIntensive
Beginner FriendlyNo math required
AI in the WorkplaceGenerative AIProductivityAI FluencyUse CasesAI WorkflowsView Details
Effective Prompt Engineering
Beginner to Advanced6-8 hoursFull prompt design framework + personal prompt library

Every major prompt engineering technique — from basic clarity to advanced agentic reasoning. Not a list of tips. A mental model you can apply to any task, any tool, any context.

...the best output? That's your default role for this task. Context — feed it what it needs AI has no memory between sessions and no knowledge of your specific situation. Without context, it answers a generic...

2 DaysIntensive
19 TechniquesComplete Coverage
Prompt EngineeringLLMsGenerative AIProductivityAI WorkflowsView Details
Technology, Infrastructure, Cloud & Security Design
Intermediate to Advanced (SA, EA)6-8 hoursInfrastructure decision framework + cloud pattern reference + security controls map

Where abstract architecture meets physical reality — choosing the platforms, compute, networking, and security controls that make the solution work at scale.

...queries. NoSQL database — flexible schema, horizontal scale. High throughput, flexible data. Cache — in-memory, fast access. Session data, hot queries. Queue — message buffer. Async processing, decoupling. Environment...

2 DaysIntensive
PracticalSA · EA
ArchitectureSolution DesignCloudInfrastructureSecurityFinOpsView Details
AI Implementation & Technical Architecture
Intermediate to Advanced5-7 hoursAI architecture blueprint + MLOps framework + deployment playbook

Turning AI prototypes into reliable, scalable production systems. MLOps, model serving, RAG architecture, monitoring, and the engineering discipline that most AI projects are missing.

...LLM's context before it generates a response. The model answers from your data, not from its training memory. Component Purpose Options Embedding model Converts text to vectors OpenAI Ada, Cohere, Sentence...

2 DaysIntensive
ArchitectureBlueprint
AI ArchitectureMLOpsModel DeploymentAI InfrastructureProduction AIView Details
AI Tools, Landscape & Platforms
Beginner to Intermediate3-4 hoursPersonal AI tools map + selection framework + team stack recommendation

The AI tools landscape — what the major platforms are, how they actually differ, and how to choose the right one for the right job. Stop chasing every new launch. Start making deliberate choices.

...Claude, Gemini, Copilot — these are all AI assistants: chat interfaces that wrap a foundation model with memory features, tool access, and a consumer-friendly experience. Understanding what's different between...

Half DayIntensive
Beginner FriendlyNo technical background required
AI ToolsAI PlatformsGenerative AIAI LandscapeLLMsAI FluencyView Details
AI Capabilities, Limitations & Use Cases
Beginner to Intermediate3-4 hoursTask-to-AI fit judgment + reference materials

What AI is genuinely good at, where it will let you down, and how to match the right task to the right tool. The judgment you need before you touch a prompt.

...build in human review steps. One AI output is never the definitive version of anything. No persistent memory Every new conversation starts completely blank. Whatever context, preferences, project details,...

Half DayIntensive
Beginner FriendlyNo math required
Generative AIAI CapabilitiesAI LimitationsHallucinationUse CasesAI FluencyView Details
Delivery Metrics That Mean Something
Engineering Managers, Tech Leads, VP Engineering, CTOs3-4 hoursA delivery scorecard — four DORA signals plus a five-dimension maturity baseline with one named bottleneck

How to replace delivery dashboards that measure activity with signals that tell you which dimension is actually holding delivery back — and what to fix first.

...yourself — The DORA baseline Look at your last month of deployments and fill this in from evidence, not memory. Signal Where you are now Where you want it in 90 days Deployment frequency — how many?...

1 DayIntensive
EvidenceNot feeling
Delivery MetricsDORAArchitecture MaturityGovernanceView Details
Developer Experience as a Control System
CTOs, Engineering Leads, Platform Engineering Teams, Engineering Managers3-4 hoursA delivery friction map across four sprints, one named constraint pillar, and a traced DX-to-delivery signal

DevEx is not a perk — it is the set of operating conditions that governs how fast and how safely change moves through your delivery system.

...architecture boundaries are designed to reduce how many systems one developer must hold in working memory at once — which is the point where this connects to Cognitive Load & Team Interfaces. Feedback...

1 DayIntensive
ConditionsNot satisfaction
Developer ExperienceDelivery PerformanceFeedback LoopsPlatform EngineeringView Details
Data and AI
Intermediate4-6 hoursData readiness assessment + governance framework + pipeline blueprint

The data foundations that make AI work. Data quality, governance, architecture, pipelines, and the GenAI shift from training to retrieval. Most AI failures are data failures — learn the patterns and prevent them.

...problems simultaneously: knowledge cutoff (the model answers from your documents, not its training memory) and hallucination (grounded in real retrieved content, not pure generation). RAG vs fine-tuning:...

1.5 DaysIntensive
Data ReadinessAssessment
Data QualityData GovernanceData ArchitectureFeature EngineeringData PipelinesRAGVector DatabasesGenAI DataAI FluencyView Details
12345